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Titlebook: Local Image Descriptor: Modern Approaches; Bin Fan,Zhenhua Wang,Fuchao Wu Book 2015 The Author(s) 2015 Local feature.Binary descriptor.Com

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Resources and Future Work,In this chapter, we will first briefly introduce several benchmarks used for evaluating local image descriptors. They are organized based on different visual applications. Finally, to conclude this book, we would like to draw some remarks about the current status of this area, and describe some future directions according to the authors’ opinions.
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Introduction,n is to make the local image as distinctive as possible while maintaining robustness to various kinds of image transformations, both photometric and geometric ones, including viewpoint changes (out-plane rotation), scale changes, in-plane rotation, image blur, noise, illumination, etc. By achieving
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Visual Applications,stitch, image retrieval, and localization etc. to name a few. In this chapter, we will introduce some of them, and show how a robust and discriminative descriptor is used in these specific applications.
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